1 to 25 of 61 Permanent Machine Learning Jobs in Scotland

contact you directly if a relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets our team apart from the … crowd, is our vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in developing pioneering audio software solutions, using machine learning techniques to enhance audio processing … to contribute to the development of next-generation audio software and make a significant impact in the industry. Key Responsibilities: Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate and benchmark the performance More ❯

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Job ID: Amazon Development Centre (Scotland) Limited Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon … the right quantity, at the right location and at exactly the right time. You'll work on state of the art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a … end machine learning services for use in the HR and Recruiting functions at Amazon. Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top tier peer reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the More ❯

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills … in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems More ❯

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills … in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems More ❯

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills … in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems More ❯

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills … in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems More ❯

adversarial attacks and enhance generalization performance by exposing the model to perturbed input examples during training. Supervised Fine tuning (SFT): Develop and execute SFT strategies for specific tasks. Reinforcement Learning from Human Feedback (RLHF): Run and refine RLHF pipelines to align models with human preferences. Pruning: Design and implement model pruning strategies to reduce model size and computational complexity … and deploy AI powered products. Contribute to the development of internal tools and infrastructure for model training and evaluation. Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field and 5+ years of relevant work experience or 7+ years of relevant work experience. Strong programming skills in Python and experience with deep … learning frameworks like PyTorch. Solid understanding of machine learning principles, including supervised learning, unsupervised learning, and reinforcement learning. Proven experience in designing and conducting experiments, analyzing data, and drawing meaningful conclusions. Familiarity with large language models, transformer architectures, and related concepts. Experience with data processing tools and techniques (e.g., Pandas, NumPy). Experience working with More ❯

learning, and are passionate about advancing your expertise in data science and AI You excel in collaborative team environments while taking full ownership of your deliverables Desirable: Advanced ML Architectures : Experience with implementing specialised neural networks such as Graph Neural Networks (GNN) for modelling complex relationships, Physics-Informed Neural Networks (PINN) for incorporating domain knowledge, or Temporal Fusion Transformers … such as Sagemaker, Kedro, MLflow or Weights and Biases Energy Domain Knowledge: Background in power systems, energy dispatch optimisation, grid modelling, or other energy sector applications where AI/ML drives operational decisions Our Tech Stack We use a wide variety of tools and technologies across our products. For this role, we're looking for skills across the following: Strong … Python proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. More ❯

ML Engineer Erskine, Scotland or Newcastle, UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying … scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. … Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into More ❯

a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools … MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural … Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and ability to work independently or in a More ❯

+ backend) that integrate cheminformatics algorithms with Chemify's platfo rm.Prepare, curate, and manage chemical datasets for machine learning and cheminformatics applicatio ns.Develop and benchmark AI/ML methods for retrosynthesis, reaction prediction, reaction likelihood estimation, and yield forecasti ng.Translate cheminformatics research outputs into production-ready software tools, integrating with internal pipelines and laboratory automation platfor ms.Implement and … cheminformatics toolkits (e. g., R DKit) and chemical reaction encoding (e.g., SMARTS/SMIR KS).Proficiency in machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and deploying ML models in production environme nts.Experience with modern software engineering practices: CI/CD pipelines, version control (Git), automated testing, and code rev iew.Hands-on experience deploying applications on cloud platforms … databases (Neo4j), relational (PostgreSQL/MySQL), and NoSQL (Mong oDB).Familiarity with high-performance computing (HPC) environments and large-scale data pipel ines.Experience in deploying and scaling AI/ML-driven applications within production sys tems.Background in agile methodologies (Agile/Scrum) and experience leading or mentoring interdisciplinary t eams.Passion for working at the intersection of chemistry and computation, with More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

BDD, Performance/Load testing etc. DevOps experience - CI/CD, Test Automation, Containerization - tools and processes. Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

a remote, fast-paced startup environment. Bonus points for: Background in healthcare, pharma, or academic research. Experience authoring or contributing to data-focused publications. Interest in applying AI/ML techniques to enhance analytical processes. Our team values autonomy, creativity, and technical excellence. If you’re someone who thrives in a dynamic environment, enjoys variety, and wants to see your More ❯

a remote, fast-paced startup environment. Bonus points for: Background in healthcare, pharma, or academic research. Experience authoring or contributing to data-focused publications. Interest in applying AI/ML techniques to enhance analytical processes. Our team values autonomy, creativity, and technical excellence. If you’re someone who thrives in a dynamic environment, enjoys variety, and wants to see your More ❯

shape the future of the manufacturing operations. PRIMARY DUTIES & RESPONSIBILITIES. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve … EDUCATION & EXPERIENCE Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated project experience. Track record of More ❯

shape the future of the manufacturing operations. PRIMARY DUTIES & RESPONSIBILITIES. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve … EDUCATION & EXPERIENCE Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated project experience. Track record of More ❯

shape the future of the manufacturing operations. PRIMARY DUTIES & RESPONSIBILITIES. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System to streamline workflows and improve … EDUCATION & EXPERIENCE Bachelor’s or Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated project experience. Track record of More ❯

applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer in an enterprise setting Strong More ❯

applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer in an enterprise setting Strong More ❯

applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer in an enterprise setting Strong More ❯

applications Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google) Tools and solutions for Sales, Marketing, and Engineering functions This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation . Skills & Experience Essential: 5–6 years’ experience as a software engineer in an enterprise setting Strong More ❯